The Center for Statistics and Machine Learning (CSML) is offering a new course for the spring, SML 515 - Statistical Data Analysis.
Peter Melchior, an assistant professor jointly appointed to the astrophysical sciences department and CSML, will be teaching the course. The class is open to graduate students and seniors, who will need to ask for permission.
The course provides an introduction to modern data analysis and data science. It addresses the central question, "What should I do if these are my data and this is what I want to know?” The course covers basic and advanced statistical descriptions of data. It also introduces the computational means and software packages to explore data and infer underlying structural parameters from them. The topics are exemplified by real-world applications. Prerequisites are linear algebra, multi-variate analysis and a familiarity with basic statistics and programming (ideally in Python).
More information can be found at the course website: http://pmelchior.net/statistical_data_analysis.html
Course registration information is at this link: https://registrar.princeton.edu/course-offerings/course-details?term=1204&courseid=015513
Any questions on the course and requests to enroll can be directed to Susan Johansen, CSML academic program coordinator, at email@example.com.